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GraphCast: AI model for faster and more accurate global weather forecasting
Introducing GraphCast, an advanced AI model capable of providing highly accurate medium-range weather forecasts, setting a new standard in forecasting accuracy.
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TSMixer: The Latest Forecasting Model by Google
TSMixer architecture is explained and can be implemented in Python for long-term multivariate forecasting tasks.
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Revolutionary AI Robot Chemist May Produce Oxygen on Mars
Chinese researchers have developed an AI robot chemist that can potentially extract oxygen from Martian resources. By using Martian materials to create catalysts that release oxygen from water, this technology represents a significant advancement in space exploration and resource utilization. The robot chemist achieved this process much faster than a human researcher, and its ability…
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How to Create Your Custom GPTs in ChatGPT (And Make Money)
OpenAI has introduced a new feature called “Create a GPT” in ChatGPT, allowing users to create custom versions of ChatGPT for specific tasks or interests. Users can train ChatGPT on their own data without the need for coding expertise. OpenAI plans to launch a GPT Store where users can publish their custom GPTs and potentially…
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OpenAI says ChatGPT was the target of DDoS attacks
ChatGPT and OpenAI’s API experienced periodic outages on 8 November due to a distributed denial-of-service (DDoS) attack. Hacktivist group Anonymous Sudan claimed responsibility, citing OpenAI’s cooperation with Israel and bias in ChatGPT. Other OpenAI models, Bard and Claude, also faced capacity constraints. The incident highlights the vulnerability of society as we become increasingly dependent on…
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Retrieval-Augmented Generation (RAG): From Theory to LangChain Implementation
The article discusses Retrieval-Augmented Generation (RAG), which is a concept that provides additional information from an external knowledge source to large language models (LLMs). The article explains the problem of factual inaccuracies that can occur when prompting LLMs and presents RAG as a solution. It also provides an implementation example using LangChain for orchestration, OpenAI…
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How Facebook went all in on AI
Facebook’s introduction of the News Feed in 2006 revolutionized the platform, providing users with a constantly updating stream of posts and status changes. Despite user complaints, engagement doubled. The company then implemented an algorithm called EdgeRank to prioritize content based on factors like age, engagement, and user connections. As Facebook embraced machine learning, it faced…
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AI is at an inflection point, Fei-Fei Li says
Fei-Fei Li, co-director of Stanford’s Human-Centered AI Institute, believes we are in an inflection moment for AI. Generative AI has caused the public to wake up to AI technology, leading to more businesses implementing AI in real-world products. Li discusses the risks of AI, the flaws of ImageNet, the role of data, and offers tips…
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Asymmetric Certified Robustness via Feature-Convex Neural Networks
The text discusses the proposal of the asymmetric certified robustness problem for deep learning classifiers, which addresses the vulnerability of these classifiers to adversarial examples. It introduces feature-convex classifiers as a solution to this problem, providing closed-form and deterministic certified radii for inputs. The text also highlights the theoretical promise of input-convex classifiers achieving perfect…
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Can Synthetic Clinical Text Generation Revolutionize Clinical NLP Tasks? Meet ClinGen: An AI Model that Involves Clinical Knowledge Extraction and Context-Informed LLM Prompting
Researchers from Emory University and Georgia Institute of Technology have developed CLINGEN, a generic framework for generating high-quality clinical texts in few-shot situations. By combining clinical knowledge extraction from knowledge graphs and large language models, CLINGEN improves the variety and distribution of synthetic clinical data. Experimental results show consistent performance increases across multiple tasks.